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Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning
Research article (International Journal of Digital Earth, 2024) · cited 14× · AI/ML
Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning
Summary
Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning is a scholarly article[1].
Key Facts
Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/estimating-the-mixed-layer-depth-of-the-global-ocean-by-combining-multisource-remote-sensing-and-spatiotemporal-deep-lea
MLA“Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/estimating-the-mixed-layer-depth-of-the-global-ocean-by-combining-multisource-remote-sensing-and-spatiotemporal-deep-lea.
BibTeX@misc{4ortxyz_estimating-the-mixed-layer-depth-of-the-global-ocean-by-combining-multisource-remote-sensing-and-spatiotemporal-deep-lea_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning}}, year = {2026}, url = {https://4ort.xyz/entity/estimating-the-mixed-layer-depth-of-the-global-ocean-by-combining-multisource-remote-sensing-and-spatiotemporal-deep-lea}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Estimating the mixed layer depth of the global ocean by combining multisource remote sensing and spatiotemporal deep learning — https://4ort.xyz/entity/estimating-the-mixed-layer-depth-of-the-global-ocean-by-combining-multisource-remote-sensing-and-spatiotemporal-deep-lea (retrieved 2026-05-24)
